A Comparison of Anthropometric and Training Characteristics between Female and Male Half-Marathoners and the Relationship to Race Time

Author(s):
Miriam FriedrichMiriam Friedrich1, Christoph A. RstChristoph A. Rst1, Thomas RosemannThomas Rosemann1, Patrizia KnechtlePatrizia Knechtle2, Ursula BarandunUrsula Barandun1, Romuald LepersRomuald Lepers3, Beat KnechtleBeat KnechtleBeat Knechtle ORCID2,*
1Institute of General Practice and for Health Services Research, University of Zurich, Zurich, Switzerland
2Gesundheitszentrum St. Gallen, St. Gallen, Switzerland
3INSERM U1093, Faculty of Sport Sciences, University of Burgundy, Dijon, France

Asian Journal of Sports Medicine:Vol. 5, issue 1; 10-20
Published online:Sep 30, 2013
Article type:Research Article
Received:Mar 01, 2013
Accepted:Sep 06, 2013
How to Cite:Friedrich M, Rst CA, Rosemann T, Knechtle P, Barandun U, et al. A Comparison of Anthropometric and Training Characteristics between Female and Male Half-Marathoners and the Relationship to Race Time. Asian J Sports Med. 2013;5(1):34175. doi: https://doi.org/10.5812/asjsm.34175

Abstract

Purpose:

Lower limb skin-fold thicknesses have been differentially associated with sex in elite runners. Front thigh and medial calf skin-fold appear to be related to 1,500m and 10,000m time in men but 400m time in women. The aim of the present study was to compare anthropometric and training characteristics in recreational female and male half-marathoners.

Methods:

The association between both anthropometry and training characteristics and race time was investigated in 83 female and 147 male recreational half marathoners using bi- and multi-variate analyses.

Results:

In men, body fat percentage (?=0.6), running speed during training (?=-3.7), and body mass index (?=1.9) were related to half-marathon race time after multi-variate analysis. After exclusion of body mass index, r2 decreased from 0.51 to 0.49, but body fat percentage (?=0.8) and running speed during training (?=-4.1) remained predictive. In women, body fat percentage (?=0.75) and speed during training (?=-6.5) were related to race time (r2=0.73). For women, the exclusion of body mass index had no consequence on the predictive variables for half-marathon race time.

Conclusion:

To summarize, in both female and male recreational half-marathoners, both body fat percentage and running speed during training sessions were related to half-marathon race times when corrected with co-variates after multi-variate regression analyses.

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